code: def _FillExample(self, sequence, wav_data, filename):
      velocity_range = music_pb2.VelocityRange(min=0, max=127)
      feature_dict = {
          "id": tf.train.Feature(
              bytes_list=tf.train.BytesList(
                  value=[filename.encode("utf-8")]
              )
          ),
          "sequence": tf.train.Feature(
              bytes_list=tf.train.BytesList(
                  value=[sequence.SerializeToString()]
              )
          ),
          "audio": tf.train.Feature(
              bytes_list=tf.train.BytesList(value=[wav_data])
          ),
          "velocity_range": tf.train.Feature(
              bytes_list=tf.train.BytesList(
                  value=[velocity_range.SerializeToString()]
              )
          ),
      }
      return tf.train.Example(
          features=tf.train.Features(feature=feature_dict)
      )
  
imports: import copy
  import tempfile
  import time
  from magenta.models.onsets_frames_transcription import configs
  from magenta.models.onsets_frames_transcription import constants
  from magenta.models.onsets_frames_transcription import data
  from note_seq import audio_io
  from note_seq import sequences_lib
  from note_seq import testing_lib
  from note_seq.protobuf import music_pb2
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the DataTest obj's underlying member method code with example usage: obj._FillExample(sequence, wav_data, filename) and returns: tf